#molecular-discovery News & Analysis

2 articles tagged with #molecular-discovery. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles

AINeutralarXiv – CS AI · Jun 106/10

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Towards Diverse Scientific Hypothesis Search with Large Language Models

Researchers propose a new evolutionary framework for using large language models to generate diverse, high-quality scientific hypotheses by reformulating the search as a sampling problem inspired by parallel tempering. The approach addresses a critical limitation where traditional optimization-focused methods collapse into homogeneous solutions, enabling scientists to maintain multiple robust candidate hypotheses under fixed validation budgets across molecular, equation, and algorithm discovery domains.

AIBullisharXiv – CS AI · Jun 46/10

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Scaling Novel Graph Generation via Lightweight Structure-Guided Autoregressive Models

Researchers propose a lightweight autoregressive framework for graph generation that achieves near log-linear complexity by using structure-guided topological ordering, addressing scalability limitations in current diffusion and autoregressive models. The two-phase training strategy reduces overfitting and promotes novel graph generation while maintaining validity, with applications spanning molecular discovery, circuit design, and cybersecurity.